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Publishing and Using Cultural Heritage Linked Data on the Semantic Web, Eero Hyvonen


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Автор: Eero Hyvonen
Название:  Publishing and Using Cultural Heritage Linked Data on the Semantic Web
ISBN: 9781608459971
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1608459977
Обложка/Формат: Paperback
Страницы: 159
Вес: 0.29 кг.
Дата издания: 30.10.2012
Серия: Synthesis lectures on the semantic web: theory and technology
Язык: English
Иллюстрации: Illustrations, black and white
Размер: 236 x 195 x 8
Читательская аудитория: General (us: trade)
Ключевые слова: Artificial intelligence
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Поставляется из: Англии
Описание: Offers an overview on why, when, and how Linked (Open) Data and Semantic Web technologies can be employed in practice in publishing Cultural Heritage (CH) collections and other content on the Web. The text presents a general semantic portal model and publishing framework as a solution approach to distributed semantic content creation, based on an ontology infrastructure.

Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data

Автор: Chen
Название: Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data
ISBN: 9811031673 ISBN-13(EAN): 9789811031670
Издательство: Springer
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Цена: 55900.00 T
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Описание: This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016.The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.

Cases On Open-Linked Data And Semantic Web Applications

Автор: Ord??ez De Pablos, Lytras, Tenny
Название: Cases On Open-Linked Data And Semantic Web Applications
ISBN: 1466628278 ISBN-13(EAN): 9781466628274
Издательство: Mare Nostrum (Eurospan)
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Цена: 170010.00 T
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Описание: With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of these elements leads to the creation of data commons called semantic web. <br><br><em>Cases on Open-Linked Data and Semantic Web Applications</em> brings together new theories, research findings and case studies which cover the recent developments and approaches towards applied open linked data and semantic web in the context of information systems. By enhancing the understanding of open linked data in business, science and information technologies, this reference source aims to be useful for academics, researchers, and practitioners. With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of these elements leads to the creation of data commons called semantic web.

Library Linked Data in the Cloud: OCLC`s Experiments with New Models of Resource Description

Автор: Carol Jean Godby, Shenghui Wang, Jeffrey K. Mixter
Название: Library Linked Data in the Cloud: OCLC`s Experiments with New Models of Resource Description
ISBN: 1627052194 ISBN-13(EAN): 9781627052191
Издательство: Mare Nostrum (Eurospan)
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Цена: 51750.00 T
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Описание: This book focuses on the conceptual and technical challenges involved in publishing linked data derived from traditional library metadata. This transformation is a high priority because most searches for information start not in the library, nor even in a Web-accessible library catalogue, but elsewhere on the Internet.

Linguistic Linked Open Data

Автор: Diana Trandab??; Daniela G?fu
Название: Linguistic Linked Open Data
ISBN: 3319329413 ISBN-13(EAN): 9783319329413
Издательство: Springer
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Цена: 46590.00 T
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Описание: Ontological modeling of social media data.- Application of social media and linked data methodologies in real-life scenarios.- User proling and assessing the suitability of content from social media.- Extracting and linking content.- Sentiment analysis in social media and linked data.-Social data mining to create structured social media resources.

Exploiting Linked Data and Knowledge Graphs in Large Organisations

Автор: Pan Jeff Z., Vetere Guido, Gomez-Perez Jose Manuel
Название: Exploiting Linked Data and Knowledge Graphs in Large Organisations
ISBN: 3319833391 ISBN-13(EAN): 9783319833392
Издательство: Springer
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Цена: 158380.00 T
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Описание:

Part I Knowledge Graph Foundations & Architecture.- Part II Constructing, Understanding and Consuming Knowledge Graphs.- Part III Industrial Applications and Successful Stories.


Linked data and knowledge graph

Название: Linked data and knowledge graph
ISBN: 3642540244 ISBN-13(EAN): 9783642540240
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the refereed proceedings of the Seventh Chinese Semantic Web Symposium and the Second Chinese Web Science Conference, CSWS 2013, held in Shanghai, China in August 2013. The 14 revised full papers presented together with 6 short papers and 3 poster papers were carefully reviewed and selected from 48 submissions.

Linked Data

Автор: Sakr
Название: Linked Data
ISBN: 3319735144 ISBN-13(EAN): 9783319735146
Издательство: Springer
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Цена: 149060.00 T
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Описание:

This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking.

To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions.

Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.

Linked Open Data -- Creating Knowledge Out of Interlinked Data

Автор: S?ren Auer; Volha Bryl; Sebastian Tramp
Название: Linked Open Data -- Creating Knowledge Out of Interlinked Data
ISBN: 3319098454 ISBN-13(EAN): 9783319098456
Издательство: Springer
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Цена: 44720.00 T
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Описание: Linked Open Data (LOD) is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. Commencing in September 2010, this 4-year project comprised leading Linked Open Data research groups, companies, and service providers from across 11 European countries and South Korea.

Language Technology for Cultural Heritage

Автор: Caroline Sporleder; Antal van den Bosch; Kalliopi
Название: Language Technology for Cultural Heritage
ISBN: 3642269885 ISBN-13(EAN): 9783642269882
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents an overview of the field of language technology for cultural heritage and its associated academic research. It covers applications ranging from pre-processing and data cleaning to the adaptation and compilation of linguistic resources.

Digging into Software Knowledge Generation in Cultural Heritage

Автор: Patricia Martin-Rodilla
Название: Digging into Software Knowledge Generation in Cultural Heritage
ISBN: 3319691872 ISBN-13(EAN): 9783319691879
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data setsThe book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting.

The Semantic Web: Semantics and Big Data

Автор: Philipp Cimiano; Oscar Corcho; Valentina Presutti;
Название: The Semantic Web: Semantics and Big Data
ISBN: 3642382878 ISBN-13(EAN): 9783642382871
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed proceedings of the 10th Extended Semantic Web Conference, ESWC 2013, held in Montpellier, France, in May 2013. mobile Web, sensors and semantic streams; social Web and Web science; cognition and semantic Web; The book also includes 17 PhD papers presented at the PhD Symposium.

Natural Language Processing for the Semantic Web

Автор: Diana Maynard, Kalina Bontcheva
Название: Natural Language Processing for the Semantic Web
ISBN: 1627059091 ISBN-13(EAN): 9781627059091
Издательство: Mare Nostrum (Eurospan)
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Цена: 76690.00 T
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Описание: Introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications.


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